Summary
Danilo Giordano is an Associate Professor at Politecnico di Torino with a decade of experience applying machine learning and data mining to network measurement, predictive maintenance, and smart mobility. He develops scalable analytics pipelines—from Spark-based big data processing to lightweight models—to detect anomalies, characterize user behavior, and predict diesel engine failures. His recent work explores the transition of real car-sharing fleets from combustion engines to electric vehicles, blending technical modeling with practical mobility planning. Danilo bridges academic rigor and industry collaboration, with a PhD focused on network monitoring and a track record of translating research into deployable systems. Outside research he channels creativity and risk-taking into theatre improvisation, sailing and scuba diving, which inform his collaborative and experimental approach to problem solving.
10 years of coding experience
7 years of employment as a software developer
Accounting, Accounting at ITC Germano Sommeiller
Doctor of Philosophy (PhD), Ingegneria elettrica, elettronica e delle comunicazioni, Doctor of Philosophy (PhD), Ingegneria elettrica, elettronica e delle comunicazioni at Politecnico di Torino
Italian, English